Hi there everyone,
I watched a video earlier about a robot that people claim to be the smartest robot made so far with a good amount of artificial intelligence. The robot was then placed on Jeopardy to test the AI of the robot to the limit against Jeopardy's biggest winners to see who would win.
What is "machine learning"?
Machine learning is I think the ability for a machine to gather all known data about a question that it is confronted with, and if it makes a mistake then it will log it into memory for future questions that are similar to the previous (mistake) question.
How did the IBM team employ that concept in the development of Watson's AI? What advantage did that provide over previous attempts at "intelligence"?
The IBM team employed that concept in the development of Watson's AI by making it go through practice runs of Jeopardy, and giving it access to a vast list of data within the memory banks. The advantage that Watson's intelligence had over previous attempts at "intelligence" was that original intelligence like chess had set rules and possible reactions while Watson's intelligence involved previous knowledge combined with knowledge learned by mistakes and new experiences.
I've often mentioned the term "Empirical Scepticism". What does that mean? How does that relate to the concept of Machine Learning? How does this relate to your life?
Empirical Scepticism means questioning the basis of scientific understanding or testing science that we know to see if it fits the Scientific Method or not. Empirical Scepticism relates to the concept of Machine Learning by having us question to see if Machine Learning is possible despite claims from society about the possibility of failure. Empirical Scepticism relates to my life because I like to question things that I see and experience in life to see if it is truly fits in science and truth or to see if it's a pseudoscience or just made up.
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